LAPSE:2023.29745
Published Article

LAPSE:2023.29745
IoT Based Electric Vehicle Application Using Boosting Algorithm for Smart Cities
April 13, 2023
Abstract
The application of Internet of Things (IoT) has been emerging as a new platform in wireless technologies primarily in the field of designing electric vehicles. To overcome all issues in existing vehicles and for protecting the environment, electric vehicles should be introduced by integrating an intellectual device called sensor all over the body of electric vehicle with less cost. Therefore, this article confers the need and importance of introducing electric vehicles with IoT based technology which monitors the battery life of electric vehicles. Since the electric vehicles are implemented with internet, an online monitoring system which is called Things Speak has been used for monitoring all the vehicles in a continuous manner (day-by-day). These online results will then be visualized in MATLAB after an effective boosting algorithm is integrated with objective function. The efficiency of proposed method is tested by visual analysis and performance results prove that the projected method on electric vehicle is improved when using IoT based technology. It is also observed that cost of implementation is lesser and capacity of electric vehicle is increased to about 74.3% after continuous monitoring with sensors.
The application of Internet of Things (IoT) has been emerging as a new platform in wireless technologies primarily in the field of designing electric vehicles. To overcome all issues in existing vehicles and for protecting the environment, electric vehicles should be introduced by integrating an intellectual device called sensor all over the body of electric vehicle with less cost. Therefore, this article confers the need and importance of introducing electric vehicles with IoT based technology which monitors the battery life of electric vehicles. Since the electric vehicles are implemented with internet, an online monitoring system which is called Things Speak has been used for monitoring all the vehicles in a continuous manner (day-by-day). These online results will then be visualized in MATLAB after an effective boosting algorithm is integrated with objective function. The efficiency of proposed method is tested by visual analysis and performance results prove that the projected method on electric vehicle is improved when using IoT based technology. It is also observed that cost of implementation is lesser and capacity of electric vehicle is increased to about 74.3% after continuous monitoring with sensors.
Record ID
Keywords
capacity, cost, electric vehicle, Internet of Things (IoT), sensors
Subject
Suggested Citation
Urooj S, Alrowais F, Teekaraman Y, Manoharan H, Kuppusamy R. IoT Based Electric Vehicle Application Using Boosting Algorithm for Smart Cities. (2023). LAPSE:2023.29745
Author Affiliations
Urooj S: Department of Electrical Engineering, College of Engineering, Princess Nourah bint Abdulrahman University, Riyadh 84428, Saudi Arabia [ORCID]
Alrowais F: Department of Computer Sciences, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, Riyadh 84428, Saudi Arabia [ORCID]
Teekaraman Y: MOBI-Mobility, Logitics and Automative Technology Research Centre, Vrije Universiteit Brussels, 1050 Ixelles, Belgium [ORCID]
Manoharan H: Department of Electronics and Communication Engineering, Audisankara College of Engineering and Technology, Gudur 524 101, India [ORCID]
Kuppusamy R: Department of Electrical and Electronics Engineering, Sri Sairam College of Engineering, Bangalore City 562 106, India
Alrowais F: Department of Computer Sciences, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, Riyadh 84428, Saudi Arabia [ORCID]
Teekaraman Y: MOBI-Mobility, Logitics and Automative Technology Research Centre, Vrije Universiteit Brussels, 1050 Ixelles, Belgium [ORCID]
Manoharan H: Department of Electronics and Communication Engineering, Audisankara College of Engineering and Technology, Gudur 524 101, India [ORCID]
Kuppusamy R: Department of Electrical and Electronics Engineering, Sri Sairam College of Engineering, Bangalore City 562 106, India
Journal Name
Energies
Volume
14
Issue
4
First Page
1072
Year
2021
Publication Date
2021-02-18
ISSN
1996-1073
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Original Submission
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PII: en14041072, Publication Type: Journal Article
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LAPSE:2023.29745
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https://doi.org/10.3390/en14041072
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